Scholar
Lukas Ruff
Google Scholar ID: 40QzNXMAAAAJ
Aignostics
Machine Learning
Deep Learning
Trustworthy ML
Anomaly Detection
Digital Pathology
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
6,920
H-index
17
i10-index
22
Publications
20
Co-authors
23
list available
Contact
LinkedIn
Open ↗
Publications
5 items
OpenTME: An Open Dataset of AI-powered H&E Tumor Microenvironment Profiles from TCGA
2026
Cited
0
Atlas 2 - Foundation models for clinical deployment
arXiv.org · 2026
Cited
0
Mind the Gap: Continuous Magnification Sampling for Pathology Foundation Models
2026
Cited
0
Towards Robust Foundation Models for Digital Pathology
2025
Cited
0
A Novel Pathology Foundation Model by Mayo Clinic, Charit'e, and Aignostics
2025
Cited
0
Co-authors
14 total
Robert A. Vandermeulen
Independent Researcher
Klaus-Robert Müller
TU Berlin & Korea University & Google DeepMind & Max Planck Institute for Informatics, Germany
Marius Kloft
Professor, RPTU Kaiserslautern-Landau
Grégoire Montavon
Professor, Charité / BIFOLD
Frederick Klauschen
Institute of Pathology, University of Munich (LMU)
Alexander Binder
Professor, ScaDS.AI and Faculty of Math and Computer Science, Uni Leipzig, Germany
Maximilian Alber
TU Berlin
Wojciech Samek
Professor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD Fellow
